Spatial Data Analyst at UN-Habitat

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Company Details
Name:UN-Habitat
Industry: Non-Profit Organization Management
Description: The United Nations Human Settlements Programme, UN-Habitat, is the UN agency for human settlements. It is mandated by the UN General Assembly to promote socially and environmentally sustainable towns and cities with the goal of providing adequate shelter for all. The Urban Economy Branch of UN-Habitat has the mandate to promote local capabilities of local governments to develop financial instruments to keep pace with the demands of rapid urbanization. The Urban Economy Branch has the mandate to promote plans and provide support for more efficient, socially inclusive, better integrated and connected cities that foster sustainable urban development.
Job Description

RESPONSIBILITIES

  • The geospatial data analyst consultant will work in the Data and Analytics Unit, under the direct supervision of both the geospatial data lead and the Chief of the Data and Analytics Unit. The consultant will be responsible for the following tasks in a selected sample of cities from all world regions:
  • Provide technical contributions to the delineation of urban boundaries for calculation of SDG indicators 11.2.1, 11.3.1, and 11.7.1 based on the degree of urbanisation (DEGURBA) approach
  • Provide technical contributions to processing statistics for SDG indicators 11.2.1, 11.3.1, and 11.7.1
  • Provide technical contributions to training, execution and validation of machine learning models developed by DAU for housing stock estimation.
  • Develop scripts for spatial data analysis, support automation, and contribute to capacity-building efforts including training on SDG 11 methodologies.

Qualifications/special skills

  • A first-level university degree in remote sensing, geographic information systems, urban planning, geography, or any other closely related field is required.
  • At least 2 years’ experience working on spatial data analysis, image interpretation, data extraction from satellite imagery and maps creation and digitization.
  • High proficiency in Geographic Information Systems and remote sensing software (egs ArcGIS, ArcGIS online, QGIS, ErdasImagine, ENVI, Google Earth Engine) is required.
  • Experience working as a spatial data analyst is desirable. Knowledge of and experience working with the SDGs is highly desirable. Knowledge in GIS relevant programming skills, geostatistical workflows and GIS online systems will be an added advantage.
Salary: Discuss During Interview
Education: Diploma
Employment Type: Full Time

Key Skills

data  informationtechnology 
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